Rene te Boekhorst's journal club session where he discusses the complexity of biological systems and presents the paper "A model of ion channel kinetics using deterministic chaotic rather than stochastic processes (Liebovitch and Toth, 1991)".
Category: Seminars
- Tagged as : neuroscience
Signal Propagation and Logic Gating in Networks of Integrate-and-Fire Neurons
Sam Sutton's journal club session where he discusses the paper "Signal Propagation and Logic Gating in Networks of Integrate-and-Fire Neurons (Vogels and Abbott, 2005)".
Reverse Nearest Neighbor Queries: emergence and implementation issues
Deepak Panday's journal club session on "Reverse Nearest Neighbor Queries: emergence and implementation issues".
Tagged as : machine learningDecoding gas source proximity from turbulent plumes
Michael Schmuker's journal club session on "Decoding gas source proximity from turbulent plumes".
A comparison of deterministic and stochastic ion channel representations in a model of a cerebellar nucleus neuron
Maria Psarrou's journal club session on 'A comparison of deterministic and stochastic ion channel representations in a model of a cerebellar nucleus neuron'.
A metric for consciousness, and the decline of the Hodgkin-Huxley theory
Reinoud Maex's journal club session on a metric for consciousness, and the decline of the Hodgkin-Huxley theory.
Tagged as : NeuroscienceMining data for defect prediction
Jean Petric's journal club session on Mining data for defect prediction.
Mining data for defect prediction - Continued
Jean Petric's journal club session on Mining data for defect prediction.
ArchaeaBot: A Post Singularity, Post Climate Change Lifeform
Anna Dumitriu and Alex May's journal club session on "ArchaeaBot: A Post Singularity, Post Climate Change Lifeform".
Singular Spectrum Analysis - A very short introduction​
Yi Sun's journal club session on Singular Spectrum Analysis
Tagged as : Statistics
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olfaction synaptic plasticity robotics machine learning Associative memory Purkinje cell Computer Science Neuromorphic hardware neural networks neuroscience Convolutional Neural Networks PCA Neuronal Morphology optimization Evolutionary algorithms Dendritic computation Persistent homology Deep learning computational modelling Open position cerebellum Neurons computational neuroscience Software development COVID-19 Network connectivity Studentship Homoeostasis Structural plasticity Artificial intelligence